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Status

Activity type

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Keywords

Background

At this point advanced computational methods come in place to offer a reasonable option to generate these needed aerodynamic data sets while keeping computational costs at an affordable level. Reduced Order Modelling (ROM) or Surrogate Modelling techniques are of particular interst in this context. Both are using the knowledge generated by highly accurate numerical CFD simulations mentioned above, but yielding a low-dimensional approximation to reproduce the characteristics of the physical model of higher complexity or using machine and deep learning techniques to predict the overall aerodynamic behaviour. In many fields of sicence and engineering such approximation techniques have been demonstrated to be capable to provide reliable predictions of large-scale dynamical simulations and, as a consequence, are also of interest to generate aerodynamic S&C data sets. In particular dynamic stability derivatives associated with angular rates and unsteady aerodynamics are an essential part of the needed data sets for new fighter aircraft designs and further increases the computation cost associated with generating the data sets and in turn makes the fast-to-evaluate advanced computational methods once more highly attractive. Hence, time-dependent maneuver simulations that are designed to excite the dynamics have to be taken into account to serve as input signals to generate the high-fidelity training data sets as wells as to verify and validate the ROM and Surrogate Models. Promising results in the previous AVT Task Groups showed the applicability of ROMs on the prediction of data sets required for steady and unsteady flows with a good agreement between ROM and CFD within the linear flow regime.
Providing comprehensive, high-fidelity based aerodynamic S&C data sets for new fighter aircraft designs also covering the nonlinear flow regime is a key issue among the NATO aircraft design and performance assessment community.

Objectives

The goals of the ET are to identify the activities among NATO nations in the field of S&C prediction capabilities with respect to Numerical CFD and Reduced Order Modelling techniques.

Topics

The ET will evaluate the necessary topics to be covered in a follow on Task Group. Questions to be solved are the status of numerical capability and available validation data sets or the need to provide new experiments.
• Identify gaps of CFD-based S&C prediction capabilities.
• Determine what to be covered: S&C Derivatives, Aerodynamic Performance, Aero-Loads, etc.
• Evaluate the status of Reduced Order Modelling and Surrogate Modelling approaches (on generic, numerical maneuver simulations).
• Evaluate recent methods to assess reasonable training signals.
• Answering open questions about the need to provide new experimental validation data for unsteady maneuver simulations.
• Predict high-fidelity based aerodynamic S&C data sets.